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SOCY 211 (60)

William Nelson (10)

Lecture 2

School

Queen's UniversityDepartment

Social Sci, Edu and Soc Work - SociologyCourse Code

SOCY 211Professor

William NelsonLecture

2This

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Introduction to Statistics

Populations, samples and units

-What is statistics?

•Statistics is the science of learning from data and of measuring, controlling, and

communicating uncertainty; and thereby provides the navigation essential from

controlling the course of scientific and societal advances.

-Module 1 key ideas

•Sampling unit: a single element that could be sampled.

•Statistical population: the group of all sampling units of interest.

•Sample: a random subset of the statistical population.

•Observation unit: a random subset of the statistical population.

•Measurement variable: the data collected. ex. height

•Measurement unit: scale for the data. ex. cm

-What is the average height of people in a house? Example

•Sampling unit: house

•Statistical population: all house (ones that we are interested in)

•Sample: randomly selected houses

•Observation unit: a person in the house

•Measurement variable: height

•Measurement unit: cm

-Key Ideas

•Descriptive statistics: an attribute of the data in your sample.

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Monday, January 18, y

•Inferential statistics process (philosophy) used to derive conclusions about

statistical population based on your sample.

-Case study Is a Mediterranean Diet better?

•605 heart attack survivors in a coronary care unit

•randomly assigned to the Mediterranean or American health association diet

•visits by a dietician at 2 months, then once a year

•Sampling unit: a person

•Statistical population: all people in clinic

•Sample: 302 MD, 303 AHA

•Observation unit: a person

•Measurement variable: disease state after 4 years

•Measurement unit: categorical (none)

-Case study: Running yourself to death

•random sample of 19,329 while men and women between 20and 93 years

•drawn from Copenhagen Population Register

•excluded people with other diseases

•5048 men and women (1098 healthy joggers and 3950 health nonjoggers)

•Sampling unit: a person

•Statistical population: all people on list with no disease

•Sample: 1098 healthy joggers and 3950 health nonjoggers

•Observation unit: a person

•Measurement variable: disease state

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